{"id":"W2093536993","doi":"10.1139/x03-056","title":"Perpendicular distance sampling: an alternative method for sampling downed coarse woody debris","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coarse woody debris; Sampling (signal processing); Statistics; Estimator; Variance (accounting); Sample (material); Volume (thermodynamics); Mathematics; Sampling design; Sample size determination; Computer science; Ecology; Accounting; Biology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002794141,0.0006940673,0.0008330787,0.002497633,0.0005125348,0.0007967672,0.001637392,0.0006002611,0.001672432],"category_scores_gemma":[0.00760871,0.0004369185,0.0006699082,0.003189323,0.0006028426,0.001451601,0.00118683,0.0008186747,0.0005396632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005413732,"about_ca_system_score_gemma":0.0008269555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008380244,"about_ca_topic_score_gemma":0.008728246,"domain_scores_codex":[0.9954608,0.001536981,0.0002069604,0.001040679,0.001668983,0.00008563592],"domain_scores_gemma":[0.9949498,0.002066401,0.0008056192,0.0008440046,0.001186545,0.0001476412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001088876,0.0004013473,0.09980744,0.0006851142,0.0004727655,0.0002511267,0.0009664913,0.02047785,0.05292997,0.01284746,0.002349426,0.8077222],"study_design_scores_gemma":[0.0006650189,0.003872667,0.2019704,0.000225711,0.0005927957,0.004856556,0.0007691148,0.6551363,0.05109977,0.02516939,0.05492846,0.0007138684],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06853868,0.0006426176,0.9272887,0.0001041001,0.0001418257,0.0002909958,0.0003719478,0.0004389876,0.002182023],"genre_scores_gemma":[0.2663136,0.0005770507,0.7283427,0.0001309944,0.00009105419,0.0004384002,0.0007042094,0.0001091711,0.003292788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008380244,"threshold_uncertainty_score":0.0166629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1602971807339052,"score_gpt":0.3644277671568608,"score_spread":0.2041305864229556,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}